Author: Luca Arrotta

Luca Arrotta
Luca is Ph.D. student at the Department of Computer Science of the University of Milan. His interests are Machine Learning, Data Analysis, IoT, Mobile Programming, and Indoor Positioning. His research currently focuses on Pervasive Computing, Context-awareness, Explainable AI, and Human Activity Recognition in smart environments.

Top Emerging Computer Vision Trends For 2022

The purpose of Computer Vision (CV) is to allow machines to obtain valuable information from their surroundings, by analyzing visual data that can be...

Hierarchical Federated Learning-Based Anomaly Detection Using Digital Twins For Internet of Medical Things (IoMT)

Smart healthcare services can be provided by using Internet of Things (IoT) technologies that monitor the health conditions of patients and their vital body...

AI Researchers Propose An Easy-To-Use Federated Learning Framework Called ‘FedCV’ For Diverse Computer Vision Tasks

Federated Learning (FL) is a distributed learning paradigm that can learn a global or a personalized model for each user relying on decentralized data...

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